Scientist - III (Senior) - MA Only

Title: Automation Scientist (Cambridge, MA ) Education: An associates degree in engineering or Life Sciences with a minimum of 4 years of experience in laboratory automation in academia, pharmaceutical and/or biotech industry OR bachelor’s degree/Master's degree in engineering or life sciences with 2 years of experience in laboratory automation in academia, pharmaceutical and/or biotech industry. The candidate will have experience with some of the following techniques and instrumentation: • Automated wet lab assay execution. • Assay validation and optimization. • Microsoft Office, LabView, introductory python skills • Excellent verbal and written communication skills • Experience with liquid handler and robotic arms. Instruments that are routinely used; Biomek, Combi, BlueWasher, Cytomat, Precise, Staubli, WDII, Pherastar, Echo, Hamilton. Note: • 100% Onsite role at Cambridge, MA We are seeking a dedicated and highly motivated automation scientist to join the Data, AI and Genome Sciences group at Merck. We are focused on remaining at the forefront of this fast-paced, exciting field and are always looking for innovative minds. • Successful candidates will become part of a creative and flexible team that utilizes cutting-edge automation and science to support the discovery and interrogation of novel medicines. • Successful candidates will focus on the operation of automated systems and associated instrumentation. • Candidates for the position must support parallel projects and multi-task daily. • Experience with automated liquid handlers, detectors, and robots is required. • Critical to success will be the ability to design experiments, interpret and track results, and utilize this information for automated workflow development and optimization. • Candidates must have a demonstrated ability to follow established protocols, validate new protocols and show attention to detail. • The candidate is expected to participate in preparation of automated systems and associated instrumentation for the execution of automated workflows. • Monitoring executing automation systems is crucial with the ability for system and instrument level error recovery.